A pattern for building personal knowledge bases using LLMs.

This is an idea file, it is designed to be copy pasted to your own LLM Agent (e.g. OpenAI Codex, Claude Code, OpenCode / Pi, or etc.). Its goal is to communicate the high level idea, but your agent will build out the specifics in collaboration with you.

Most people's experience with LLMs and documents looks like RAG: you upload a collection of files, the LLM retrieves relevant chunks at query time, and generates an answer. This works, but the LLM is rediscovering knowledge from scratch on every question. There's no accumulation. Ask a subtle question that requires synthesizing five documents, and the LLM has to find and piece together the relevant fragments every time. Nothing is built up. NotebookLM, ChatGPT file uploads, and most RAG systems work this way.

How to run the FiveM for GTA V Enhanced client on Linux, with no VM: launcher, game, mouse, keyboard and the F8 console. Tested on a local FXServer and on a public server.

Cfx.re does not support Linux. Everything here is plain Wine/Proton setup plus one small DLL that works around two Wine keyboard bugs. Nothing touches anti-cheat.

Only tested on my machine (the setup in the table below). A different desktop, GPU driver, distro, Steam package or Proton version may need changes this guide does not cover. The stuck

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Credit to MadHatter

Use your text editor of choice or if you don't have one use Windows Notepad
Opening with Notepad may or may not result in a fancy mess

1. Close Spotify
2. Open File Explorer and paste the following into the address bar %appdata%/Spotify¤
3. Open the file named prefs with your text editor
4. Change the numeric value following storage.size= . If storage.size= doesn't exist add it manually to the end of the file and assign numeric value. This value represents megabytes. One gigabyte equals 1024 megabytes. In the end, it should look something like this storage.size=1024
5. Save the file